Clairva

What Clairva does

Clairva builds licensed video and audio datasets for multimodal AI, world models and embodied agents. They work across India and Southeast Asia to source, structure and deliver rights-cleared data from real environments. Their datasets cover human behaviour, speech, scenes, everyday actions, object interactions, cultural context and regional environments that are often underrepresented in existing AI training data. As AI systems move from text prediction to video understanding, spatial reasoning and real-world action, they need data that reflects how people actually live, move, speak, work and interact with their surroundings. Clairva is focused on building that data layer with licensing, provenance, privacy handling and commercial usability built in from the start. They work with content owners, studios, creators, contributor networks and institutional partners to convert video and audio into structured training signal. Clairva turns behavioural video into structured training signal for world models, embodied agents, robotics and multimodal reasoning, focusing on data for systems that understand the physical world: how people move, handle objects, speak and interact in real environments. This is learned from grounded, frame-level behavioural video, not text scraped off the web. Clairva delivers model-ready behavioural intelligence, not raw footage or a clip library.

Key capabilities

• Licensed Behavioural Data
• Contextual Annotation Stack
• Model-Ready Delivery
• Rights-aware video and first-person capture
• Structured training signal for world models and embodied AI
• Objects, hands, depth, scene, speech, motion, intent and cultural context, annotated frame by frame
• Structured outputs delivered through secure pipelines and APIs
• Provenance-aware data workflows
• Secure API-based delivery
• Usage-bound dataset creation

Use cases

• Training multimodal AI
• Training world models
• Training embodied agents
• Training robotics
• Multimodal reasoning
• Training AI systems for video understanding
• Training AI systems for spatial reasoning
• Training AI systems for real-world action
• Training AI systems for physical understanding
• Fine-tuning models
• Evaluating models

AI approach

Clairva builds licensed video and audio datasets for multimodal AI, world models, and embodied agents. They source, structure, and deliver rights-cleared data from real environments, focusing on human behavior, speech, scenes, actions, object interactions, cultural context, and regional environments. They transform raw video into structured training signal through an annotation pipeline, providing model-ready behavioral intelligence.

Tech named: multimodal AI, world models, embodied agents, robotics, multimodal reasoning

What it says sets it apart

• Focus on behavioural video as structured training signal, not raw footage or scraped data
• Native coverage of languages, environments and everyday behaviour of Southeast Asia and the wider Global South
• Frame-level behavioural intelligence, not raw footage or clip libraries
• Rights-aware video and first-person capture, licensed at the source
• Contextual annotation stack for objects, hands, depth, scene, speech, motion, intent and cultural context
• Model-ready delivery through secure pipelines and APIs
• Designed for enterprise AI workflows where provenance, control and delivery matter
• Raw video can remain governed, rights tracked, usage bounded
• No raw resale, no generative likeness outputs

Funding rounds we track

From the AI funding tracker — rounds as reported by the linked publications.